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NIPS
2004
13 years 9 months ago
Incremental Algorithms for Hierarchical Classification
We study the problem of hierarchical classification when labels corresponding to partial and/or multiple paths in the underlying taxonomy are allowed. We introduce a new hierarchi...
Nicolò Cesa-Bianchi, Claudio Gentile, Andre...
AAAI
2000
13 years 9 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
ICMAS
1998
13 years 9 months ago
Heterogeneity, Stability, and Efficiency in Distributed Systems
This paper explores the increasing the heterogeneity of an agent population to stabilize decentralized systems by adding bias terms to each agent's expected payoffs. Two appr...
James D. Thomas, Katia P. Sycara
CN
2006
89views more  CN 2006»
13 years 7 months ago
A flexible concast-based grouping service
Abstract. We present a scalable and flexible grouping service based on concast and best-effort single-source multicast. The service assigns participating end systems to specific gr...
Amit Sehgal, Kenneth L. Calvert, Jim Griffioen
CORR
2007
Springer
179views Education» more  CORR 2007»
13 years 7 months ago
On the Information Rate of MIMO Systems with Finite Rate Channel State Feedback and Power On/Off Strategy
— This paper quantifies the information rate of multiple-input multiple-output (MIMO) systems with finite rate channel state feedback and power on/off strategy. In power on/off...
Wei Dai, Youjian Liu, Brian Rider, Vincent K. N. L...